4 papers
Solving Implicit Inverse Problems with Homotopy-Based Regularization Path
Davide Parodi, Federico Benvenuto, Sara Garbarino +1
Implicit inverse problems, in which noisy observations of a physical quantity are used to infer a nonlinear functional applied to an associated function, are inherently ill posed a…
Probabilistic approach to longitudinal response prediction: application to radiomics from brain cancer imaging
Isabella Cama, Michele Piana, Cristina Campi +1
Longitudinal imaging analysis tracks disease progression and treatment response over time, providing dynamic insights into treatment efficacy and disease evolution. Radiomic featur…
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
Isabella Cama, Alejandro Guzmán, Cristina Campi +4
Most papers caution against using predictive models for disease stratification based on unselected radiomic features, as these features are affected by contouring variability. Inst…
Localized FDG loss in lung cancer lesions
Davide Parodi, Edoardo Dighero, Giorgia Biddau +7
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Neverthele…